MONITORING THE RATE OF EXPANSION OF AGRICULTURAL FIELDS IN MWEKERA FOREST RESERVE USING REMOTE SENSING AND GIS

MONITORING THE RATE OF EXPANSION OF AGRICULTURAL FIELDS IN MWEKERA FOREST RESERVE USING REMOTE SENSING AND GIS

Rapid population growth and rural-urban migration amidst limited job opportunities lead to conversion of land from forests into agriculture and other land uses. In this study, Zambia’s Mwekera national forest reserve was used as a case study to assess the rate of expansion of agricultural fields usi...

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Main Authors: K. Kanja, M. Mwemba, K. Malunga
Format: Article
Language:English
Published: Copernicus Publications 2019-07-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/377/2019/isprs-archives-XLII-3-W6-377-2019.pdf
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spelling doaj-7dd6d086e13d4b609f3f3e28bc26bb322020-11-24T21:29:07ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-07-01XLII-3-W637738010.5194/isprs-archives-XLII-3-W6-377-2019MONITORING THE RATE OF EXPANSION OF AGRICULTURAL FIELDS IN MWEKERA FOREST RESERVE USING REMOTE SENSING AND GISK. Kanja0M. Mwemba1K. Malunga2KMU, Dept. of Agriculture and Aquatic Sciences, 480195, Chinsali, ZambiaKMU, Dept. of Agriculture and Aquatic Sciences, 480195, Chinsali, ZambiaZambia Forestry College, Kitwe, ZambiaRapid population growth and rural-urban migration amidst limited job opportunities lead to conversion of land from forests into agriculture and other land uses. In this study, Zambia’s Mwekera national forest reserve was used as a case study to assess the rate of expansion of agricultural fields using remote sensing and GIS. Iterative Self-Organizing Data Analysis Technique (ISODATA) as well as maximum likelihood supervised classification on four Landsat images as well as accuracy assessment of the classifications was performed. Over the period under observation, results indicate annual percentage changes to be −0.03, −0.49 and 1.26 for agriculture, forests and settlement respectively indicating a higher conversion of forests into human settlements and agriculture.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/377/2019/isprs-archives-XLII-3-W6-377-2019.pdf
collection DOAJ
language English
format Article
sources DOAJ
author K. Kanja
M. Mwemba
K. Malunga
spellingShingle K. Kanja
M. Mwemba
K. Malunga
MONITORING THE RATE OF EXPANSION OF AGRICULTURAL FIELDS IN MWEKERA FOREST RESERVE USING REMOTE SENSING AND GIS
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet K. Kanja
M. Mwemba
K. Malunga
author_sort K. Kanja
title MONITORING THE RATE OF EXPANSION OF AGRICULTURAL FIELDS IN MWEKERA FOREST RESERVE USING REMOTE SENSING AND GIS
title_short MONITORING THE RATE OF EXPANSION OF AGRICULTURAL FIELDS IN MWEKERA FOREST RESERVE USING REMOTE SENSING AND GIS
title_full MONITORING THE RATE OF EXPANSION OF AGRICULTURAL FIELDS IN MWEKERA FOREST RESERVE USING REMOTE SENSING AND GIS
title_fullStr MONITORING THE RATE OF EXPANSION OF AGRICULTURAL FIELDS IN MWEKERA FOREST RESERVE USING REMOTE SENSING AND GIS
title_full_unstemmed MONITORING THE RATE OF EXPANSION OF AGRICULTURAL FIELDS IN MWEKERA FOREST RESERVE USING REMOTE SENSING AND GIS
title_sort monitoring the rate of expansion of agricultural fields in mwekera forest reserve using remote sensing and gis
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2019-07-01
description Rapid population growth and rural-urban migration amidst limited job opportunities lead to conversion of land from forests into agriculture and other land uses. In this study, Zambia’s Mwekera national forest reserve was used as a case study to assess the rate of expansion of agricultural fields using remote sensing and GIS. Iterative Self-Organizing Data Analysis Technique (ISODATA) as well as maximum likelihood supervised classification on four Landsat images as well as accuracy assessment of the classifications was performed. Over the period under observation, results indicate annual percentage changes to be −0.03, −0.49 and 1.26 for agriculture, forests and settlement respectively indicating a higher conversion of forests into human settlements and agriculture.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W6/377/2019/isprs-archives-XLII-3-W6-377-2019.pdf
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AT mmwemba monitoringtherateofexpansionofagriculturalfieldsinmwekeraforestreserveusingremotesensingandgis
AT kmalunga monitoringtherateofexpansionofagriculturalfieldsinmwekeraforestreserveusingremotesensingandgis
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